Casper Kaae Sønderby

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 17

Top Topics

Integer Wavelet Transform

Lossless Compression

Generative Model

Top Venues

Publications

Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR (2021)
Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. ICLR (2021)
Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. CoRR (2020)
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR (2020)
Christopher Heje Grønbech, Maximillian Fornitz Vording, Pascal N. Timshel, Casper Kaae Sønderby, Tune H. Pers, Ole Winther, Bonnie Berger
scVAE: variational auto-encoders for single-cell gene expression data. Bioinform. 36 (16) (2020)
Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár
Amortised MAP Inference for Image Super-resolution. ICLR (2017)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (21) (2017)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (24) (2017)
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. 33 (22) (2017)
Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. BCB (2017)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. CoRR (2016)
Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár
Amortised MAP Inference for Image Super-resolution. CoRR (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
Ladder Variational Autoencoders. NIPS (2016)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. ICML (2016)
Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther
Neural Machine Translation with Characters and Hierarchical Encoding. CoRR (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR (2016)
Frederik Otzen Bagger, Damir Sasivarevic, Sina Hadi Sohi, Linea Gøricke Laursen, Sachin Pundhir, Casper Kaae Sønderby, Ole Winther, Nicolas Rapin, Bo T. Porse
BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis. Nucleic Acids Res. 44 (Database-Issue) (2016)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. AlCoB (2015)
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther
Recurrent Spatial Transformer Networks. CoRR (2015)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. CoRR (2015)